Paper Title
Driver drowsiness detection
Article Identifiers
Authors
K.Nandini , M.chandana , G. Vandana sai , G.Lavanya , R. Snehanjali
Keywords
Drowsiness Detection; facial expression; Machine learning; behavioral measures.
Abstract
This paper presents a literature review of driver drowsiness detection based on behavioral measures using machine learning techniques. Faces contain information that can be used to interpret levels of drowsiness. There are many facial features that can be extracted from the face to infer the level of drowsiness. These include eye blinks, head movements and yawning. However, the development of a drowsiness detection system that yields reliable and accurate results is a challenging task as it requires accurate and robust algorithms. A wide range of techniques has been examined to detect driver drowsiness in the past. The recent rise of deep learning requires that these algorithms be revisited to evaluate their accuracy in detection of drowsiness. As a result, this paper reviews machine learning techniques which include support vector machines, convolutional neural networks and hidden Markov models in the context of drowsiness detection. Furthermore, a meta-analysis is conducted on 25 papers that use machine learning techniques for drowsiness detection. The analysis reveals that support vector machine technique is the most commonly used technique to detect drowsiness, but convolutional neural networks performed better than the other two techniques. Finally, this paper lists publicly available datasets that can be used as benchmarks for drowsiness detection.
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How To Cite
"Driver drowsiness detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d32-d40, April-2024, Available :https://ijnrd.org/papers/IJNRD2404305.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : d32-d40
Other Publication Details
Paper Reg. ID: IJNRD_217906
Published Paper Id: IJNRD2404305
Downloads: 000121117
Research Area: Computer EngineeringÂ
Country: Anantapur, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404305.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404305
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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